DocumentCode :
2331500
Title :
Research on real-time geometry compression method in distributed parallel rendering system for virtual manufacturing
Author :
Gao Xin ; Jia Qing-Xuan ; Sun Han-xu ; Song Jing-zhou
Author_Institution :
Sch. of Autom., Beijing Univ. of Post & Telecommun., Beijing
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
500
Lastpage :
505
Abstract :
The paper describes a method for compression of geometry data stream in distributed parallel rendering systems. First this paper uses edge collapse method with discrete curvature error metric to construct multi-resolution models, and use variable quantization of precision to compression 3-dimensional models; then models were provided to view-dependent progressive transmission method to deal with, and implement it with a distributed parallel rendering system for virtual manufacturing; While this paper use the parallelogram prediction of vertex coordinates and the angular space within one sextant of normal to compress 3-dimensional models, alleviating network bandwidth bottleneck.
Keywords :
bandwidth compression; computational geometry; data compression; image resolution; parallel processing; quantisation (signal); rendering (computer graphics); stereo image processing; virtual manufacturing; alleviating network bandwidth bottleneck; construct multiresolution model; discrete curvature error metric; distributed parallel rendering system; edge collapse method; parallelogram prediction; real-time geometry compression method; stereo image; variable quantization; view-dependent progressive transmission method; virtual manufacturing; Bandwidth; Displays; Geometry; Manufacturing automation; Multiresolution analysis; Predictive models; Real time systems; Rendering (computer graphics); Solid modeling; Virtual manufacturing; distributed parallel rendering; geometry compression; multiresolution modeling; view-dependent;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
Type :
conf
DOI :
10.1109/ICIEA.2009.5138256
Filename :
5138256
Link To Document :
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